摘要

Near-field seismic localization has important significance and wide applications in the real world, for instance, locating explosions or tracking traffic movements. Those traditional methods designed for far-field scenarios are limited here due to the unknown velocity structures and high accuracy demands. This paper, for the first time, applied the Delta T Mapping (DTM) technique from acoustic emission detection in near-field seismic localization. DTM first needs to construct a mapping of the difference of first arrivals on which the following locating is based. There are two approaches for establishing such model: (1) grid search method: using linear scattered point interpolation to obtain new DTM of higher resolution; (2) statistical locating method: using Gaussian Process Regression to build the mapping from Delta T to positions. The experiment was conducted in an area of 140 mX90 m in a suburb in Beijing. The locating error was 0. 5 similar to 5.1 m. The results showed that DTM is reliable, highly accurate and suitable for real-time use for near-field seismic localization. The cost of learning DTM and analyzing data could be further decreased while obtaining high accurate DTM by switching the sources and receivers. Furthermore, combining source-scan algorithm has certain potential to locate multi-sources.

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